• Title/Summary/Keyword: monolithic approach

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Application of Piezoceramic Actuator to the Inch-Worm (이송자벌레로의 압전세라믹 작동기 응용)

  • Kim, In-Su;Lee, Hong-Sik;Song, Jun-Yeop
    • Journal of the Korean Society for Precision Engineering
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    • v.18 no.8
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    • pp.157-163
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    • 2001
  • This paper presents the new linear notion device so called \"inch-werm\" which gets large displacement by incrementally summing small displacements of PZT actuators. Dynamic stiffness of inch-worm is generally low compared to its driving condition due to the requirement of inch-worm like small size and light weight. This low stiffness may degenerate the positional precision of inch-worm. An inch-worm is realized using three PZT actuators, a monolithic moving device and a guide way frame. Finite element method and experimental approach are used to analyse the static and dynamic motion of the designed inch-worm. Command reference input is shaped to reduce the residual vibration of inch-worm. The practical feasibility of inch-worm is also examined by running tests.ing tests.

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Quantitative Analysis on Effective Stiffness of Horizontal Joints in Precast Concrete Large Panel Structures (P.C. 대형판 구조물의 수평접합부 유효강성에 대한 정량적 분석)

  • 이한선;장극관;신영식
    • Magazine of the Korea Concrete Institute
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    • v.6 no.3
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    • pp.142-151
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    • 1994
  • Though stiffnesses of joints in precast concrete(P.C.) large panel structures are known to be generally less than those in monolithic reinforced concrete wall structures, designers have very little information on the quantitative values with regards to these stiffnesses. The aim of this paper is to provide this quantitative information, in particular, on the compressive stiffness of horizontal joints, based on the analytical results derived from several experiments. Also, it is shown that the approach from the contact problem to determine this stiffness gives a value very simlar to those obtained above.

Effect of Capacitance Error on the A/D conversion Accuracy (커패시턴스 오차가 아날로그 디지털 변환의 정확도에 미치는 영향)

  • Lee, Yun-Tae;Kim, Chung-Gi;Gyeong, Jong-Min
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.22 no.5
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    • pp.57-61
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    • 1985
  • The e(lect of capacitance error on the A/D conversion accuracy in the A/D converter using binary-weighted capacitor array was scruntized. Besides the Monte-Carlo method considering the inter-capacitance ratios as random variables, " correlation approach" con-sidering the correlation coefficient between capacitances is proposed in this paper. Bt was observed by the measurement of capacitances of monolithic MO5 capacitors that the correla-tion coefficient between capacitors decreases as the capacitor size incrrases. It was also verified that the parallel connection of unit capacitors and the common centroid layout scheme signi(icantly increase the inter-capacitance correlation coefficients.

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Compliant Mechanism Design using a New Monolithic Approach Considering Fluid-Structure Interaction Annual Conference (모노리틱 유체-구조 연성 해석을 이용한 컴플라이언트 미케니즘 위상 최적 설계)

  • Yoon, Gil-Ho
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2010.04a
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    • pp.574-577
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    • 2010
  • 이번 연구에서는 저속 비압축성 유체-구조 연성을 고려한 위상 최적화을 위해 새로운 모노리틱 해석을 개발한다. 이 새로운 해석 기법에서는 기존의 유체-구조 연성 시스템 해석 기법에서 유체와 구조 영역을 분리하고 연성 조건을 만족시키는 것과 다르게 하나의 일치된 해석 방정식을 유체 영역과 구조 영역에 동일하게 적용한다. 또한, 경계조건을 만족시키기 위하여 단일화 된 해석 방정식의 물성치를 바꾸어주는 새로운 방식을 제시하였다. 이 새로운 방법에서는 유체, 구조 영역을 분리하지 않고 Navier-Stoke's 방정식과 선형 탄성식을 동시에 사용하였다. 또한, 유체-구조 영역이 연성 해석 중 변화하는 것을 반영하기 위하여 구조 변위를 이용하여 Deformation tensor를 계산하였고 이를 이용하여 변형 후에서의 Navier-Stoke 방정식의 미분을 계산하는 방법을 제안하였다. 그리고, 정상 상태 유체를 가정하고 속도에 비례하는 마찰힘인 Darcy's force 항을 Navier-Stoke 방정식에 넣고 이 마찰 힘의 크기를 변화시킴으로 해서 유체 방정식에서의 연성 경계 조건을 만족시켰다. 선형 탄성 방정식에서 Divergence이론을 이용해서 경계에서 작용하는 외력이 하는 일을 내부 시스템에 하는 일로 계산하였다. 개발된 모노리스 해석 방법을 이용하여 저속 비압축성 유체가 구조에 미치는 압축력을 계산하였고 이용하여 컴플라이언트 미케니즘을 설계하였다.

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Identifying potential mergers of globular clusters: a machine-learning approach

  • Pasquato, Mario
    • The Bulletin of The Korean Astronomical Society
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    • v.39 no.2
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    • pp.89-89
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    • 2014
  • While the current consensus view holds that galaxy mergers are commonplace, it is sometimes speculated that Globular Clusters (GCs) may also have undergone merging events, possibly resulting in massive objects with a strong metallicity spread such as Omega Centauri. Galaxies are mostly far, unresolved systems whose mergers are most likely wet, resulting in observational as well as modeling difficulties, but GCs are resolved into stars that can be used as discrete dynamical tracers, and their mergers might have been dry, therefore easily simulated with an N-body code. It is however difficult to determine the observational parameters best suited to reveal a history of merging based on the positions and kinematics of GC stars, if evidence of merging is at all observable. To overcome this difficulty, we investigate the applicability of supervised and unsupervised machine learning to the automatic reconstruction of the dynamical history of a stellar system. In particular we test whether statistical clustering methods can classify simulated systems into monolithic versus merger products. We run direct N-body simulations of two identical King-model clusters undergoing a head-on collision resulting in a merged system, and other simulations of isolated King models with the same total number of particles as the merged system. After several relaxation times elapse, we extract a sample of snapshots of the sky-projected positions of particles from each simulation at different dynamical times, and we run a variety of clustering and classification algorithms to classify the snapshots into two subsets in a relevant feature space.

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Optimized Phase Noise of LC VCO Using an Asymmetrical Inductance Tank

  • Yoon Jae-Ho;Shrestha Bhanu;Koh Ah-Rah;Kennedy Gary P.;Kim Nam-Young
    • Journal of electromagnetic engineering and science
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    • v.6 no.1
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    • pp.30-35
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    • 2006
  • This paper describes fully integrated low phase noise MMIC voltage controlled oscillators(VCOs). The Asymmetrical Inductance Tank VCO(AIT-VCO), which optimize the shortcoming of the previous tank's inductance optimization approach, has lower phase noise performance due to achieving higher equivalent parallel resistance and Q value of the tank. This VCO features an output power signal in the range of - 11.53 dBm and a tuning range of 261 MHz or 15.2 % of its operating frequency. This VCO exhibits a phase noise of - 117.3 dBc/Hz at a frequency offset of 100 kHz from carrier. A phase noise reduction of 15 dB was achieved relative to only one spiral inductor. The AIT-VCO achieved low very low figure of merit of -184.6 dBc/Hz. The die area, including buffers and bond pads, is $0.9{\times}0.9mm^2$.

A Situation Simulation Method for Achieving Situation Variability and Authoring Scalability based on Dynamic Event Coupling

  • Choi, Jun Seong;Park, Jong Hee
    • International Journal of Contents
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    • v.16 no.1
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    • pp.25-33
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    • 2020
  • We develop a simulation method that affords very high variability of virtual pedagogical situations involving many independent plans, still achieves authoring (or implementation) scalability. While each individual plan would be coherently drawn up by an agent for its respective goal, those independently-made plans might be coincidentally intertwined in their execution. The inevitable non-determinism involved in this multi-event plan encompassing pre-planned and unforeseen events is resolved by (multi-phase) dynamic planning and articulated sequencing of events in contrast to static planning and monolithic authoring in conventional narrative systems. Connections between events are dictated by their associated rules and their actual connections are dynamically determined in execution time by current conditions of background-world. This unified connection scheme across pre-planned and unforeseen events allows a multi-plan, multi-agent situation to be coherently planned and executed in a global scale. To further the variability of a situation, the inter-event coupling is made in a fine level of action along with a limited episteme of each agent involved. We confirm analytically the viability of our approach with respect to the situation variability and authoring scalability, and demonstrate its practicality with an implementation of a composite situation.

Fragility evaluation of integral abutment bridge including soil structure interaction effects

  • Sunil, J.C.;Atop, Lego;Anjan, Dutta
    • Earthquakes and Structures
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    • v.20 no.2
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    • pp.201-213
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    • 2021
  • Contrast to the conventional jointed bridge design, integral abutment bridges (IABs) offer some marked advantages like reduced maintenance and enhanced service life of the structure due to elimination of joints in the deck and monolithic construction practices. However, the force transfer mechanism during seismic and thermal movements is a topic of interest owing to rigid connection between superstructure and substructure (piers and abutments). This study attempts to model an existing IAB by including the abutment backfill interaction and soil-foundation interaction effects using Winkler foundation assumption to determine its seismic response. Keeping in view the significance of abutment behavior in an IAB, the probability of damage to the abutment is evaluated using fragility function. Incremental Dynamic Analysis (IDA) approach is used in this regard, wherein, nonlinear time history analyses are conducted on the numerical model using a selected suite of ground motions with increasing intensities until damage to abutment. It is concluded from the fragility analysis results that for a MCE level earthquake in the location of integral bridge, the probability of complete damage to the abutment is minimal.

Reinforcement Learning Approach to Agents Dynamic Positioning in Robot Soccer Simulation Games

  • Kwon, Ki-Duk;Kim, In-Cheol
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.321-324
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    • 2001
  • The robot soccer simulation game is a dynamic multi-agent environment. In this paper we suggest a new reinforcement learning approach to each agent's dynamic positioning in such dynamic environment. Reinforcement Beaming is the machine learning in which an agent learns from indirect, delayed reward an optimal policy to choose sequences of actions that produce the greatest cumulative reward. Therefore the reinforcement loaming is different from supervised teaming in the sense that there is no presentation of input-output pairs as training examples. Furthermore, model-free reinforcement loaming algorithms like Q-learning do not require defining or loaming any models of the surrounding environment. Nevertheless it can learn the optimal policy if the agent can visit every state-action pair infinitely. However, the biggest problem of monolithic reinforcement learning is that its straightforward applications do not successfully scale up to more complex environments due to the intractable large space of states. In order to address this problem, we suggest Adaptive Mediation-based Modular Q-Learning(AMMQL) as an improvement of the existing Modular Q-Learning(MQL). While simple modular Q-learning combines the results from each learning module in a fixed way, AMMQL combines them in a more flexible way by assigning different weight to each module according to its contribution to rewards. Therefore in addition to resolving the problem of large state space effectively, AMMQL can show higher adaptability to environmental changes than pure MQL. This paper introduces the concept of AMMQL and presents details of its application into dynamic positioning of robot soccer agents.

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A Study on Pipeline Design Methods for Providing Secure Container Image Registry (안전한 컨테이너 이미지 레지스트리 제공을 위한 파이프라인 설계 방안에 관한 연구)

  • Seong-Jae Ko;Sun-Jib Kim
    • Journal of Internet of Things and Convergence
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    • v.9 no.3
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    • pp.21-26
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    • 2023
  • The development and distribution approach of applications is transitioning from a monolithic architecture to microservices and containerization, a lightweight virtualization technology, is becoming a core IT technology. However, unlike traditional virtual machines based on hypervisors, container technology does not provide concrete security boundaries as it shares the same kernel. According to various preceding studies, there are many security vulnerabilities in most container images that are currently shared. Accordingly, attackers may attempt exploitation by using security vulnerabilities, which may seriously affect the system environment. Therefore, in this study, we propose an efficient automated deployment pipeline design to prevent the distribution of container images with security vulnerabilities, aiming to provide a secure container environment. Through this approach, we can ensure a safe container environment.